You will be taken to Deutsche Bank’s own careers page to apply. Job ID R0440545.
Job description
Job Description: Job Title: Quality Assurance Engineer – AI Agentic Applications Location: Pune, India Corporate Title: AVP
Role Description Quality Assurance Engineer to validate AI agentic applications across development and production. The position combines specialized AI testing, automation, safety evaluation, and continuous quality measurement. The engineer is responsible to design, build and execute the test strategy for LLM accuracy, RAG ingestion and attribution, agent planning and tool use, recovery behavior, and production failure patterns
What we’ll offer you As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
Best in class leave policy
Gender neutral parental leaves
100% reimbursement under childcare assistance benefit (gender neutral)
Sponsorship for Industry relevant certifications and education
Employee Assistance Program for you and your family members
Comprehensive Hospitalization Insurance for you and your dependents
Accident and Term life Insurance
Complementary Health screening for 35 yrs. and above
Your key responsibilities
Design, execute, and maintain test strategies and automation frameworks for AI-powered agentic workflows
Develop and implement specialized testing approaches for LLM-powered applications, validating response accuracy, relevance, and grounding, while identifying hallucinations and edge-case behaviours
Test and evaluate the behaviour of autonomous and semi-autonomous AI agents, ensuring proper planning, tool selection/sequencing, agent-to-agent interactions, and graceful error/timeout recovery
Validate Retrieval-Augmented Generation (RAG) performance, including document ingestion, chunking, metadata quality, embedding accuracy, and citation/source attribution
Perform AI safety and security testing to identify vulnerabilities such as prompt injection (direct/indirect), data leakage, unauthorized tool execution, and privilege escalation
Establish quantitative AI evaluation metrics and quality gates (e.g., classification accuracy, groundedness, hallucination rate, tool-selection accuracy, and cost/latency) to measure performance across releases
Build and maintain automated test suites (covering APIs, UI, integration, RAG, and agent trajectories) to progressively transition the testing suite toward automated continuous evaluation
Analyze production AI interactions and failed agent journeys to identify recurring failure patterns, create regression tests from production incidents, and ensure decision auditability
Your skills and experience
Minimum Required Skills & Experience (Must Have)
Bachelor's degree or above in Computer Science, Engineering, Information Technology, or a related discipline
5+ years of experience in software quality assurance and testing, with strong knowledge of test planning, functional, integration, regression, and end-to-end testing
1–2 years of hands-on experience specifically testing GenAI, LLM, or Agentic AI applications
Strong experience with test automation and building automation frameworks and test utilities (rather than relying solely on manual tools)
Strong programming ability in at least one language: Java / Kotlin or Python
Strong understanding of generative AI technologies, including LLMs, prompt engineering, RAG, embeddings, vector databases, AI agents/agentic workflows, and tool/function calling
Hands-on experience with LLM and agent evaluation tools such as Langsmith/Langfuse, Ragas, or equivalent frameworks for dataset-based testing, custom evaluation metrics, experiment tracking, tracing, and continuous regression evaluation
Add On Experience (Nice to Have)
Experience testing API and data integrations, including REST APIs, JSON, SQL, databases, and messaging systems like Kafka
Good understanding of CI/CD integration and establishing automated quality gates
Experience working in the financial services industry, with knowledge of regulatory reporting, trade lifecycles, transaction reporting, reconciliations, and regulatory controls
Experience with AI/LLM orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Vertex AI, OpenAI, or similar technologies
Hands-on experience with advanced AI testing capabilities such as prompt injection testing, AI evaluation/evals, and AI observability
Experience testing distributed systems
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
How we’ll support you
Training and development to help you excel in your career
Coaching and support from experts in your team
A culture of continuous learning to aid progression
A range of flexible benefits that you can tailor to suit your needs
About us and our teams Please visit our company website for further information: https://www.db.com/company/company.html
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
